Sighthound

What is Sighthound?

Sighthound develops computer vision AI for video analysis, specializing in automatic license plate recognition (ALPR), vehicle analytics, video redaction and edge computing hardware. It serves law enforcement, smart surveillance and enterprise customers.

Key capabilities of Sighthound

• License plate recognition: Retriever reads plates from most countries
• Vehicle identification: make, model, color and generation from 1991 onward
• Object detection and tracking: vehicles, trucks, buses, motorcycles, people and bicycles
• Moving and static cameras: vehicle detection from both
• Video redaction: Redactor removes faces and plates automatically
• Edge AI hardware: rugged US-manufactured on-site devices

How Sighthound works

Retriever analyzes video from fixed or moving cameras to detect vehicles, read plates and classify make, model and color. Redactor ingests video, image or audio files and automatically blurs or removes personally identifiable information such as faces and plates. Models run in the cloud or on Sighthound edge devices for on-site processing.

Who uses Sighthound?

Law enforcement agencies, fleet and telematics providers, surveillance integrators and privacy teams use it. Sighthound says it serves over 2,800 customers and partners, with named partners including Argonne Laboratory, Garmin, Safe Fleet and Platform Science.

Sighthound pricing

Retriever and edge hardware are priced by quote. For Redactor, the redactor.com pricing page lists a Pro desktop plan at $2,500 per year for one user, with server licensing starting at $3,500 a year plus $500 per additional user.

Sighthound alternatives

Alternatives include Chooch for enterprise vision AI, Deepomatic for visual inspection, Amazon Rekognition for cloud image and video analysis, Google Cloud Vision AI for image models, and Azure AI Vision for Microsoft-hosted vision APIs.